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Module « scipy.io »

Fonction whosmat - module scipy.io

Signature de la fonction whosmat

def whosmat(file_name, appendmat=True, **kwargs) 

Description

whosmat.__doc__

    List variables inside a MATLAB file.

    Parameters
    ----------
    file_name : str
       Name of the mat file (do not need .mat extension if
       appendmat==True) Can also pass open file-like object.
    appendmat : bool, optional
       True to append the .mat extension to the end of the given
       filename, if not already present.
    byte_order : str or None, optional
       None by default, implying byte order guessed from mat
       file. Otherwise can be one of ('native', '=', 'little', '<',
       'BIG', '>').
    mat_dtype : bool, optional
       If True, return arrays in same dtype as would be loaded into
       MATLAB (instead of the dtype with which they are saved).
    squeeze_me : bool, optional
       Whether to squeeze unit matrix dimensions or not.
    chars_as_strings : bool, optional
       Whether to convert char arrays to string arrays.
    matlab_compatible : bool, optional
       Returns matrices as would be loaded by MATLAB (implies
       squeeze_me=False, chars_as_strings=False, mat_dtype=True,
       struct_as_record=True).
    struct_as_record : bool, optional
       Whether to load MATLAB structs as NumPy record arrays, or as
       old-style NumPy arrays with dtype=object. Setting this flag to
       False replicates the behavior of SciPy version 0.7.x (returning
       numpy object arrays). The default setting is True, because it
       allows easier round-trip load and save of MATLAB files.

    Returns
    -------
    variables : list of tuples
        A list of tuples, where each tuple holds the matrix name (a string),
        its shape (tuple of ints), and its data class (a string).
        Possible data classes are: int8, uint8, int16, uint16, int32, uint32,
        int64, uint64, single, double, cell, struct, object, char, sparse,
        function, opaque, logical, unknown.

    Notes
    -----
    v4 (Level 1.0), v6 and v7 to 7.2 matfiles are supported.

    You will need an HDF5 python library to read matlab 7.3 format mat
    files. Because SciPy does not supply one, we do not implement the
    HDF5 / 7.3 interface here.

    .. versionadded:: 0.12.0